Discover how to secure AI agents in your cloud environment with Tenable One Cloud Exposure. We explore Microsoft Entra Agent ID and provide essential best practices for robust agentic AI identity security.Key takeawaysUnderstand your current maturity level and then build an appropriate action plan to secure your agent identities.Use your cloud providers’ native tools or Tenable One Cloud Exposure to locate and catalog every AI agent operating in your environment.Do not assign human identities or over-privileged service accounts to the AI agents your vendors deploy in your environment. Instead, require that vendors adopt official models like Microsoft Entra Agent ID for their AI agents’ identities.As AI agents move from experimental toys to tools that make autonomous decisions, interact with databases, and call external APIs, organizations need to be clear on who — or what — is executing these actions in their cloud environments.Why non-human identities (NHIs) aren’t secure enough for AI agentsSecurity teams categorize identities into two buckets: human identities and non-human identities (NHIs), such as service accounts, secrets, and automated scripts.Treating AI agents as standard NHIs is a recipe for disaster. AI agents combine their non-deterministic nature with their ability to execute flexible, outcome-oriented actions, rather than following strict, prescribed instructions. Unlike classic, predictable scripts that follow rigid code paths, AI agents:Make creative, runtime decisions using LLMs.Interact with dynamic external tools, memory caches, and knowledge bases.Constantly adapt to solve problems, making it difficult for a security team to establish AI agents’ baseline behavior.To address this challenge, major cloud providers have introduced dedicated, specialized agentic AI identity models. Let’s break down one major model: Microsoft Entra Agent ID.Microsoft Entra Agent IDFeature / dimensionMicrosoft Entra Agent IDPrimary architectureIdentity provider-centric (built on Entra ID)Target scopeAny AI platform, including Microsoft Copilot, Microsoft Foundry, and third-party platforms not hosted on AzureIdentity componentsFour-object model: Agent identity blueprint, agent identity blueprint principal, agent identity, agent userHardening mechanismPermission boundaries and cascade rules; “On-behalf-of” user plus agent dual authenticationDeveloper complexityHigher, due to dealing with a multi-object model, with cross-tenant considerationsVisibility / scopeExcellent, since it covers unmanaged and external SaaS-based agentsAnnouncing Tenable One Cloud Exposure support for Microsoft Entra Agent IDIdentity and cloud providers' native identity management tools present only basic information about agentic identities, without providing context about their security flaws and how they extend your attack surface. Because AI agents are becoming a new class of identity with real permissions, you must understand how an attacker could compromise and abuse them. At Tenable, we believe visibility is the foundation of security. You can’t secure assets that you do not know exist.As organization-wide adoption of agentic AI accelerates, the immediate challenge for security teams is first and foremost finding them. Because these identities are brand new, conventional identity and access management (IAM) systems may not recognize or monitor them, which creates security blind spots.To help our customers address this issue, Tenable One Cloud Exposure now brings Microsoft Entra agentic AI identities directly into your unified asset and identity inventory.Microsoft Entra Agent ID ModelThe Microsoft Entra Agent ID framework functions through a four-tiered structural model:Agent identity blueprints serve as the master templates for shared attributes. Residing exclusively within the agent provider’s home tenant, they establish cross-tenant links that heighten exposure to potential supply-chain attacks.Agent identity blueprint principals are the localized instantiation of a blueprint within every specific tenant where the AI agent is deployed and active.Agent identities represent the functional identities utilized for routine tasks. To maintain oversight of agent behavior, these are the primary entities your security team must monitor.Agent users offer an optional layer for each agent identity requiring human-centric features — like Microsoft Teams access or a personal mailbox — to function effectively as integrated “digital colleagues.”Bringing order to Microsoft Entra ‘robot sprawl’Watch the quick walkthrough below to see how Tenable One Cloud Exposure discovers, inventories, and maps your Microsoft Entra agentic AI identities.How to uncover AI agent identitiesAt the recent fwd:cloudsec North America 2026 conference in Bellevue, Wash., my fellow Tenable researcher Ron Popov and I took the stage to address this exact challenge in our talk, “Who Are the Robots? Uncovering AI Agents’ Identities.”If you missed our live session or want to dive deep into the technical architecture of agentic identity, please watch our full presentation in the video below.Ready to unmask your robots?Don’t let autonomous agents become dangerous blind spots in your cloud environments. Discover Tenable One Cloud Exposure today to see how Tenable’s unified identity inventory can help you gain broader visibility over your Microsoft Entra AI agent footprint.